Overview

Brought to you by YData

Dataset statistics

Number of variables	21
Number of observations	8992
Missing cells	14540
Missing cells (%)	7.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.9 MiB
Average record size in memory	919.7 B

Variable types

Numeric	8
Categorical	6
Text	6
DateTime	1

Alerts

`Rank` has constant value "-"	Constant
`Ano/Mes` is highly overall correlated with `Fase` and 1 other fields	High correlation
`Canal` is highly overall correlated with `Categoria`	High correlation
`Categoria` is highly overall correlated with `Canal` and 1 other fields	High correlation
`Fase` is highly overall correlated with `Ano/Mes` and 1 other fields	High correlation
`Join_WhatsApp` is highly overall correlated with `Leads` and 1 other fields	High correlation
`Leads` is highly overall correlated with `Join_WhatsApp` and 1 other fields	High correlation
`Leads Tráfego Pago` is highly overall correlated with `Categoria` and 4 other fields	High correlation
`Organizador` is highly overall correlated with `Ano/Mes` and 1 other fields	High correlation
`Receita` is highly overall correlated with `Vendas`	High correlation
`Sessions` is highly overall correlated with `Leads Tráfego Pago` and 1 other fields	High correlation
`Total users` is highly overall correlated with `Leads Tráfego Pago` and 1 other fields	High correlation
`Vendas` is highly overall correlated with `Receita`	High correlation
`Objetivo` is highly imbalanced (80.4%)	Imbalance
`Fase` has 360 (4.0%) missing values	Missing
`Investimento` has 6208 (69.0%) missing values	Missing
`Leads Tráfego Pago` has 7972 (88.7%) missing values	Missing
`Organizador` is uniformly distributed	Uniform
`Organizador` has unique values	Unique
`Join_WhatsApp` has 7237 (80.5%) zeros	Zeros
`Leads` has 7331 (81.5%) zeros	Zeros
`Vendas` has 8568 (95.3%) zeros	Zeros
`Receita` has 8568 (95.3%) zeros	Zeros
`Leads Tráfego Pago` has 703 (7.8%) zeros	Zeros

Reproduction

Analysis started	2025-03-18 17:11:15.236765
Analysis finished	2025-03-18 17:11:17.585703
Duration	2.35 seconds
Software version	ydata-profiling vv4.14.0
Download configuration	config.json

Organizador
Real number (ℝ)

High correlation Uniform Unique

Distinct	8992
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4496.5

Minimum	1
Maximum	8992
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	1
5-th percentile	450.55
Q1	2248.75
median	4496.5
Q3	6744.25
95-th percentile	8542.45
Maximum	8992
Range	8991
Interquartile range (IQR)	4495.5

Descriptive statistics

Standard deviation	2595.9111
Coefficient of variation (CV)	0.57731817
Kurtosis	-1.2
Mean	4496.5
Median Absolute Deviation (MAD)	2248
Skewness	0
Sum	40432528
Variance	6738754.7
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
5998	1	< 0.1%
5992	1	< 0.1%
5993	1	< 0.1%
5994	1	< 0.1%
5995	1	< 0.1%
5996	1	< 0.1%
5997	1	< 0.1%
5999	1	< 0.1%
5990	1	< 0.1%
Other values (8982)	8982	99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
8992	1	< 0.1%
8991	1	< 0.1%
8990	1	< 0.1%
8989	1	< 0.1%
8988	1	< 0.1%
8987	1	< 0.1%
8986	1	< 0.1%
8985	1	< 0.1%
8984	1	< 0.1%
8983	1	< 0.1%

Ano/Mes
Categorical

High correlation

Distinct	15
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	584.6 KiB

2024 \| Março	891
2024 \| Setembro	826
2024 \| Agosto	762
2025 \| Janeiro	718
2024 \| Novembro	714
Other values (10)	5081

Length

Max length	16
Median length	15
Mean length	13.527691
Min length	11

Characters and Unicode

Total characters	121641
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2024 \| Janeiro
2nd row	2024 \| Janeiro
3rd row	2024 \| Janeiro
4th row	2024 \| Janeiro
5th row	2024 \| Janeiro

Common Values

Value	Count	Frequency (%)
2024 \| Março	891	9.9%
2024 \| Setembro	826	9.2%
2024 \| Agosto	762	8.5%
2025 \| Janeiro	718	8.0%
2024 \| Novembro	714	7.9%
2024 \| Outubro	696	7.7%
2024 \| Dezembro	638	7.1%
2024 \| Abril	619	6.9%
2024 \| Julho	617	6.9%
2025 \| Fevereiro	596	6.6%
Other values (5)	1915	21.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	8992	33.3%
2024	7360	27.3%
2025	1632	6.0%
março	1209	4.5%
fevereiro	947	3.5%
janeiro	907	3.4%
setembro	826	3.1%
agosto	762	2.8%
novembro	714	2.6%
outubro	696	2.6%
Other values (5)	2931	10.9%

Most occurring characters

Value	Count	Frequency (%)
2	17984	14.8%
	17984	14.8%
o	9849	8.1%
\|	8992	7.4%
0	8992	7.4%
r	7503	6.2%
e	7390	6.1%
4	7360	6.1%
b	3493	2.9%
i	3026	2.5%
Other values (21)	29068	23.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	121641	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	17984	14.8%
	17984	14.8%
o	9849	8.1%
\|	8992	7.4%
0	8992	7.4%
r	7503	6.2%
e	7390	6.1%
4	7360	6.1%
b	3493	2.9%
i	3026	2.5%
Other values (21)	29068	23.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	121641	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	17984	14.8%
	17984	14.8%
o	9849	8.1%
\|	8992	7.4%
0	8992	7.4%
r	7503	6.2%
e	7390	6.1%
4	7360	6.1%
b	3493	2.9%
i	3026	2.5%
Other values (21)	29068	23.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	121641	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	17984	14.8%
	17984	14.8%
o	9849	8.1%
\|	8992	7.4%
0	8992	7.4%
r	7503	6.2%
e	7390	6.1%
4	7360	6.1%
b	3493	2.9%
i	3026	2.5%
Other values (21)	29068	23.9%

Concat2
Text

Distinct	3742
Distinct (%)	41.6%
Missing	0
Missing (%)	0.0%
Memory size	647.9 KiB

Length

Max length	23
Median length	13
Mean length	15.099422
Min length	8

Characters and Unicode

Total characters	135774
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1584 ?
Unique (%)	17.6%

Sample

1st row	Tráfego Direto45307
2nd row	Tráfego Direto45308
3rd row	Meta Ads45308
4th row	Referral45308
5th row	Meta Ads45308

Value	Count	Frequency (%)
linkedin	1054	8.3%
meta	810	6.4%
instagram	710	5.6%
e-mail	461	3.6%
tráfego	424	3.3%
google	210	1.7%
referral45364	92	0.7%
referral45365	67	0.5%
referral45363	65	0.5%
referral45368	63	0.5%
Other values (3176)	8705	68.8%

Most occurring characters

Value	Count	Frequency (%)
5	13123	9.7%
4	12604	9.3%
e	10387	7.7%
r	9827	7.2%
a	6855	5.0%
n	5043	3.7%
6	4398	3.2%
i	4164	3.1%
o	4115	3.0%
t	3951	2.9%
Other values (39)	61307	45.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	135774	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	13123	9.7%
4	12604	9.3%
e	10387	7.7%
r	9827	7.2%
a	6855	5.0%
n	5043	3.7%
6	4398	3.2%
i	4164	3.1%
o	4115	3.0%
t	3951	2.9%
Other values (39)	61307	45.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	135774	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	13123	9.7%
4	12604	9.3%
e	10387	7.7%
r	9827	7.2%
a	6855	5.0%
n	5043	3.7%
6	4398	3.2%
i	4164	3.1%
o	4115	3.0%
t	3951	2.9%
Other values (39)	61307	45.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	135774	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	13123	9.7%
4	12604	9.3%
e	10387	7.7%
r	9827	7.2%
a	6855	5.0%
n	5043	3.7%
6	4398	3.2%
i	4164	3.1%
o	4115	3.0%
t	3951	2.9%
Other values (39)	61307	45.2%

Categoria
Categorical

High correlation

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	836.9 KiB

Tráfego Orgânico	4168
Social Orgânico	3318
Tráfego Pago	1020
CRM	461
Hello Bar	17

Length

Max length	16
Median length	15
Mean length	14.487767
Min length	3

Characters and Unicode

Total characters	130274
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tráfego Orgânico
2nd row	Tráfego Orgânico
3rd row	Tráfego Pago
4th row	Tráfego Orgânico
5th row	Tráfego Pago

Common Values

Value	Count	Frequency (%)
Tráfego Orgânico	4168	46.4%
Social Orgânico	3318	36.9%
Tráfego Pago	1020	11.3%
CRM	461	5.1%
Hello Bar	17	0.2%
Teste	8	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
orgânico	7486	42.7%
tráfego	5188	29.6%
social	3318	18.9%
pago	1020	5.8%
crm	461	2.6%
hello	17	0.1%
bar	17	0.1%
teste	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	17029	13.1%
g	13694	10.5%
r	12691	9.7%
c	10804	8.3%
i	10804	8.3%
	8523	6.5%
n	7486	5.7%
O	7486	5.7%
â	7486	5.7%
e	5221	4.0%
Other values (14)	29050	22.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	130274	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	17029	13.1%
g	13694	10.5%
r	12691	9.7%
c	10804	8.3%
i	10804	8.3%
	8523	6.5%
n	7486	5.7%
O	7486	5.7%
â	7486	5.7%
e	5221	4.0%
Other values (14)	29050	22.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	130274	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	17029	13.1%
g	13694	10.5%
r	12691	9.7%
c	10804	8.3%
i	10804	8.3%
	8523	6.5%
n	7486	5.7%
O	7486	5.7%
â	7486	5.7%
e	5221	4.0%
Other values (14)	29050	22.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	130274	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	17029	13.1%
g	13694	10.5%
r	12691	9.7%
c	10804	8.3%
i	10804	8.3%
	8523	6.5%
n	7486	5.7%
O	7486	5.7%
â	7486	5.7%
e	5221	4.0%
Other values (14)	29050	22.3%

Canal
Categorical

High correlation

Distinct	15
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	593.3 KiB

Referral	3014
LinkedIn Orgânico	1054
Youtube	894
Meta Ads	810
Instagram Orgânico	710
Other values (10)	2510

Length

Max length	18
Median length	8
Mean length	10.099422
Min length	3

Characters and Unicode

Total characters	90814
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tráfego Direto
2nd row	Tráfego Direto
3rd row	Meta Ads
4th row	Referral
5th row	Meta Ads

Common Values

Value	Count	Frequency (%)
Referral	3014	33.5%
LinkedIn Orgânico	1054	11.7%
Youtube	894	9.9%
Meta Ads	810	9.0%
Instagram Orgânico	710	7.9%
WhatsApp	644	7.2%
SEO	638	7.1%
E-mail Marketing	461	5.1%
Tráfego Direto	424	4.7%
Google Ads	210	2.3%
Other values (5)	133	1.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
referral	3014	23.8%
orgânico	1764	13.9%
linkedin	1054	8.3%
ads	1020	8.1%
youtube	894	7.1%
meta	810	6.4%
instagram	710	5.6%
whatsapp	644	5.1%
seo	638	5.0%
marketing	461	3.6%
Other values (9)	1652	13.0%

Most occurring characters

Value	Count	Frequency (%)
e	10387	11.4%
r	9827	10.8%
a	6855	7.5%
n	5043	5.6%
i	4164	4.6%
o	4115	4.5%
t	3951	4.4%
l	3713	4.1%
	3669	4.0%
g	3602	4.0%
Other values (29)	35488	39.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	90814	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	10387	11.4%
r	9827	10.8%
a	6855	7.5%
n	5043	5.6%
i	4164	4.6%
o	4115	4.5%
t	3951	4.4%
l	3713	4.1%
	3669	4.0%
g	3602	4.0%
Other values (29)	35488	39.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	90814	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	10387	11.4%
r	9827	10.8%
a	6855	7.5%
n	5043	5.6%
i	4164	4.6%
o	4115	4.5%
t	3951	4.4%
l	3713	4.1%
	3669	4.0%
g	3602	4.0%
Other values (29)	35488	39.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	90814	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	10387	11.4%
r	9827	10.8%
a	6855	7.5%
n	5043	5.6%
i	4164	4.6%
o	4115	4.5%
t	3951	4.4%
l	3713	4.1%
	3669	4.0%
g	3602	4.0%
Other values (29)	35488	39.1%

Concat
Text

Distinct	600
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	616.5 KiB

Length

Max length	76
Median length	42
Mean length	21.192949
Min length	6

Characters and Unicode

Total characters	190567
Distinct characters	72
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	425 ?
Unique (%)	4.7%

Sample

1st row	(direct)(none)
2nd row	(direct)(none)
3rd row	facebooklinktext
4th row	my.orbitpages.comreferral
5th row	facebookFacebook_Right_Column

Value	Count	Frequency (%)
direct)(none	424	4.2%
linkedin.comreferral	420	4.1%
googleorganic	397	3.9%
set	368	3.6%
youtube.comreferral	354	3.5%
jornadadedados2024.com.brreferral	317	3.1%
facebookcpc-leads	307	3.0%
not	284	2.8%
lnkd.inreferral	282	2.8%
l.instagram.comreferral	280	2.8%
Other values (597)	6735	66.2%

Most occurring characters

Value	Count	Frequency (%)
r	19419	10.2%
e	18331	9.6%
a	18099	9.5%
o	16414	8.6%
c	10642	5.6%
l	9321	4.9%
n	8452	4.4%
i	7661	4.0%
s	7547	4.0%
d	7494	3.9%
Other values (62)	67187	35.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	190567	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	19419	10.2%
e	18331	9.6%
a	18099	9.5%
o	16414	8.6%
c	10642	5.6%
l	9321	4.9%
n	8452	4.4%
i	7661	4.0%
s	7547	4.0%
d	7494	3.9%
Other values (62)	67187	35.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	190567	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	19419	10.2%
e	18331	9.6%
a	18099	9.5%
o	16414	8.6%
c	10642	5.6%
l	9321	4.9%
n	8452	4.4%
i	7661	4.0%
s	7547	4.0%
d	7494	3.9%
Other values (62)	67187	35.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	190567	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	19419	10.2%
e	18331	9.6%
a	18099	9.5%
o	16414	8.6%
c	10642	5.6%
l	9321	4.9%
n	8452	4.4%
i	7661	4.0%
s	7547	4.0%
d	7494	3.9%
Other values (62)	67187	35.3%

Semana
Text

Distinct	62
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	606.0 KiB

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	179840
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2024 \| 15/01 - 21/01
2nd row	2024 \| 15/01 - 21/01
3rd row	2024 \| 15/01 - 21/01
4th row	2024 \| 15/01 - 21/01
5th row	2024 \| 15/01 - 21/01

Value	Count	Frequency (%)
	17984	40.0%
2024	7360	16.4%
2025	1632	3.6%
11/03	501	1.1%
17/03	501	1.1%
10/03	257	0.6%
15/09	226	0.5%
09/09	226	0.5%
03/03	219	0.5%
02/09	198	0.4%
Other values (113)	15856	35.3%

Most occurring characters

Value	Count	Frequency (%)
	35968	20.0%
0	30920	17.2%
2	28713	16.0%
/	17984	10.0%
1	16037	8.9%
4	10157	5.6%
\|	8992	5.0%
-	8992	5.0%
3	4768	2.7%
5	4433	2.5%
Other values (4)	12876	7.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	179840	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	35968	20.0%
0	30920	17.2%
2	28713	16.0%
/	17984	10.0%
1	16037	8.9%
4	10157	5.6%
\|	8992	5.0%
-	8992	5.0%
3	4768	2.7%
5	4433	2.5%
Other values (4)	12876	7.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	179840	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	35968	20.0%
0	30920	17.2%
2	28713	16.0%
/	17984	10.0%
1	16037	8.9%
4	10157	5.6%
\|	8992	5.0%
-	8992	5.0%
3	4768	2.7%
5	4433	2.5%
Other values (4)	12876	7.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	179840	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	35968	20.0%
0	30920	17.2%
2	28713	16.0%
/	17984	10.0%
1	16037	8.9%
4	10157	5.6%
\|	8992	5.0%
-	8992	5.0%
3	4768	2.7%
5	4433	2.5%
Other values (4)	12876	7.2%

Fase
Categorical

High correlation Missing

Distinct	38
Distinct (%)	0.4%
Missing	360
Missing (%)	4.0%
Memory size	844.7 KiB

Ongoing	2087
2º Lançamento \| Vendas	470
6º Lançamento \| Leads	376
12º Lançamento \| Leads	368
9º Lançamento \| Leads	343
Other values (33)	4988

Length

Max length	23
Median length	22
Mean length	18.072405
Min length	7

Characters and Unicode

Total characters	156001
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ongoing
2nd row	Ongoing
3rd row	Ongoing
4th row	Ongoing
5th row	Ongoing

Common Values

Value	Count	Frequency (%)
Ongoing	2087	23.2%
2º Lançamento \| Vendas	470	5.2%
6º Lançamento \| Leads	376	4.2%
12º Lançamento \| Leads	368	4.1%
9º Lançamento \| Leads	343	3.8%
7º Lançamento \| Leads	321	3.6%
14º Lançamento \| Leads	318	3.5%
4º Lançamento \| Leads	303	3.4%
13º Lançamento \| Leads	294	3.3%
8º Lançamento \| Leads	275	3.1%
Other values (28)	3477	38.7%
(Missing)	360	4.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lançamento	6545	23.2%
	6545	23.2%
leads	3594	12.7%
vendas	2337	8.3%
ongoing	2087	7.4%
2º	741	2.6%
live	614	2.2%
7º	596	2.1%
9º	593	2.1%
8º	590	2.1%
Other values (9)	4025	14.2%

Most occurring characters

Value	Count	Frequency (%)
	19635	12.6%
n	19601	12.6%
a	19021	12.2%
e	13090	8.4%
L	10753	6.9%
o	8632	5.5%
t	6545	4.2%
m	6545	4.2%
ç	6545	4.2%
\|	6545	4.2%
Other values (18)	39089	25.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	156001	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	19635	12.6%
n	19601	12.6%
a	19021	12.2%
e	13090	8.4%
L	10753	6.9%
o	8632	5.5%
t	6545	4.2%
m	6545	4.2%
ç	6545	4.2%
\|	6545	4.2%
Other values (18)	39089	25.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	156001	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	19635	12.6%
n	19601	12.6%
a	19021	12.2%
e	13090	8.4%
L	10753	6.9%
o	8632	5.5%
t	6545	4.2%
m	6545	4.2%
ç	6545	4.2%
\|	6545	4.2%
Other values (18)	39089	25.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	156001	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	19635	12.6%
n	19601	12.6%
a	19021	12.2%
e	13090	8.4%
L	10753	6.9%
o	8632	5.5%
t	6545	4.2%
m	6545	4.2%
ç	6545	4.2%
\|	6545	4.2%
Other values (18)	39089	25.1%

Objetivo
Categorical

Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	441.5 KiB

-	8467
Leads	307
Vendas	189
Awareness	29

Length

Max length	9
Median length	1
Mean length	1.26746
Min length	1

Characters and Unicode

Total characters	11397
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-
2nd row	-
3rd row	-
4th row	-
5th row	-

Common Values

Value	Count	Frequency (%)
-	8467	94.2%
Leads	307	3.4%
Vendas	189	2.1%
Awareness	29	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	8467	94.2%
leads	307	3.4%
vendas	189	2.1%
awareness	29	0.3%

Most occurring characters

Value	Count	Frequency (%)
-	8467	74.3%
e	554	4.9%
s	554	4.9%
a	525	4.6%
d	496	4.4%
L	307	2.7%
n	218	1.9%
V	189	1.7%
A	29	0.3%
w	29	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11397	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	8467	74.3%
e	554	4.9%
s	554	4.9%
a	525	4.6%
d	496	4.4%
L	307	2.7%
n	218	1.9%
V	189	1.7%
A	29	0.3%
w	29	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11397	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	8467	74.3%
e	554	4.9%
s	554	4.9%
a	525	4.6%
d	496	4.4%
L	307	2.7%
n	218	1.9%
V	189	1.7%
A	29	0.3%
w	29	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11397	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	8467	74.3%
e	554	4.9%
s	554	4.9%
a	525	4.6%
d	496	4.4%
L	307	2.7%
n	218	1.9%
V	189	1.7%
A	29	0.3%
w	29	0.3%

Date
Date

Distinct	426
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	70.4 KiB

Minimum	2024-01-16 00:00:00
Maximum	2025-03-16 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Session source
Text

Distinct	518
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Memory size	540.7 KiB

Length

Max length	68
Median length	47
Mean length	12.555716
Min length	2

Characters and Unicode

Total characters	112901
Distinct characters	70
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	397 ?
Unique (%)	4.4%

Sample

1st row	(direct)
2nd row	(direct)
3rd row	facebook
4th row	my.orbitpages.com
5th row	facebook

Value	Count	Frequency (%)
whatsapp	754	7.7%
facebook	709	7.2%
google	607	6.2%
youtube	494	5.0%
direct	424	4.3%
linkedin.com	421	4.3%
youtube.com	354	3.6%
linkedin	319	3.3%
jornadadedados2024.com.br	317	3.2%
lnkd.in	284	2.9%
Other values (513)	5117	52.2%

Most occurring characters

Value	Count	Frequency (%)
o	11588	10.3%
a	9839	8.7%
e	6681	5.9%
d	6247	5.5%
c	6136	5.4%
.	6000	5.3%
t	5659	5.0%
s	5107	4.5%
m	5042	4.5%
n	4926	4.4%
Other values (60)	45676	40.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	112901	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	11588	10.3%
a	9839	8.7%
e	6681	5.9%
d	6247	5.5%
c	6136	5.4%
.	6000	5.3%
t	5659	5.0%
s	5107	4.5%
m	5042	4.5%
n	4926	4.4%
Other values (60)	45676	40.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	112901	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	11588	10.3%
a	9839	8.7%
e	6681	5.9%
d	6247	5.5%
c	6136	5.4%
.	6000	5.3%
t	5659	5.0%
s	5107	4.5%
m	5042	4.5%
n	4926	4.4%
Other values (60)	45676	40.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	112901	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	11588	10.3%
a	9839	8.7%
e	6681	5.9%
d	6247	5.5%
c	6136	5.4%
.	6000	5.3%
t	5659	5.0%
s	5107	4.5%
m	5042	4.5%
n	4926	4.4%
Other values (60)	45676	40.5%

Session medium
Text

Distinct	77
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	506.3 KiB

Length

Max length	38
Median length	33
Mean length	8.6372331
Min length	2

Characters and Unicode

Total characters	77666
Distinct characters	47
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	0.1%

Sample

1st row	(none)
2nd row	(none)
3rd row	linktext
4th row	referral
5th row	Facebook_Right_Column

Value	Count	Frequency (%)
referral	4255	45.5%
organic	872	9.3%
email	431	4.6%
none	424	4.5%
social-organico	388	4.1%
not	368	3.9%
set	368	3.9%
cpc-leads	307	3.3%
cpc	247	2.6%
grupos-descricao	194	2.1%
Other values (68)	1506	16.1%

Most occurring characters

Value	Count	Frequency (%)
r	15231	19.6%
e	11650	15.0%
a	8260	10.6%
l	6100	7.9%
o	4826	6.2%
c	4506	5.8%
f	4308	5.5%
n	3526	4.5%
i	3253	4.2%
s	2440	3.1%
Other values (37)	13566	17.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	77666	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	15231	19.6%
e	11650	15.0%
a	8260	10.6%
l	6100	7.9%
o	4826	6.2%
c	4506	5.8%
f	4308	5.5%
n	3526	4.5%
i	3253	4.2%
s	2440	3.1%
Other values (37)	13566	17.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	77666	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	15231	19.6%
e	11650	15.0%
a	8260	10.6%
l	6100	7.9%
o	4826	6.2%
c	4506	5.8%
f	4308	5.5%
n	3526	4.5%
i	3253	4.2%
s	2440	3.1%
Other values (37)	13566	17.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	77666	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	15231	19.6%
e	11650	15.0%
a	8260	10.6%
l	6100	7.9%
o	4826	6.2%
c	4506	5.8%
f	4308	5.5%
n	3526	4.5%
i	3253	4.2%
s	2440	3.1%
Other values (37)	13566	17.5%

Sessions
Real number (ℝ)

High correlation

Distinct	378
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.743995

Minimum	1
Maximum	1270
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	12
95-th percentile	108
Maximum	1270
Range	1269
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	84.107562
Coefficient of variation (CV)	3.267075
Kurtosis	59.34075
Mean	25.743995
Median Absolute Deviation (MAD)	2
Skewness	6.8830369
Sum	231490
Variance	7074.0819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	2722	30.3%
2	1204	13.4%
3	745	8.3%
4	568	6.3%
5	355	3.9%
6	278	3.1%
7	226	2.5%
8	195	2.2%
9	154	1.7%
10	145	1.6%
Other values (368)	2400	26.7%

Value	Count	Frequency (%)
1	2722	30.3%
2	1204	13.4%
3	745	8.3%
4	568	6.3%
5	355	3.9%
6	278	3.1%
7	226	2.5%
8	195	2.2%
9	154	1.7%
10	145	1.6%

Value	Count	Frequency (%)
1270	1	< 0.1%
1140	1	< 0.1%
1111	1	< 0.1%
1079	1	< 0.1%
1051	1	< 0.1%
1003	1	< 0.1%
985	1	< 0.1%
977	1	< 0.1%
974	1	< 0.1%
972	1	< 0.1%

Total users
Real number (ℝ)

High correlation

Distinct	385
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.650467

Minimum	1
Maximum	1198
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	10
95-th percentile	99
Maximum	1198
Range	1197
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	80.617044
Coefficient of variation (CV)	3.4086872
Kurtosis	61.383779
Mean	23.650467
Median Absolute Deviation (MAD)	2
Skewness	7.0328519
Sum	212665
Variance	6499.1078
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	3202	35.6%
2	1183	13.2%
3	728	8.1%
4	470	5.2%
5	337	3.7%
6	256	2.8%
7	220	2.4%
8	160	1.8%
9	150	1.7%
11	98	1.1%
Other values (375)	2188	24.3%

Value	Count	Frequency (%)
1	3202	35.6%
2	1183	13.2%
3	728	8.1%
4	470	5.2%
5	337	3.7%
6	256	2.8%
7	220	2.4%
8	160	1.8%
9	150	1.7%
10	94	1.0%

Value	Count	Frequency (%)
1198	1	< 0.1%
1100	1	< 0.1%
1073	1	< 0.1%
1005	1	< 0.1%
983	1	< 0.1%
971	1	< 0.1%
965	1	< 0.1%
960	1	< 0.1%
957	1	< 0.1%
954	1	< 0.1%

Investimento
Text

Missing

Distinct	649
Distinct (%)	23.3%
Missing	6208
Missing (%)	69.0%
Memory size	348.4 KiB

Length

Max length	11
Median length	7
Mean length	7.7298851
Min length	7

Characters and Unicode

Total characters	21520
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	200 ?
Unique (%)	7.2%

Sample

1st row	R$ 31,83
2nd row	R$ 31,83
3rd row	R$ 31,83
4th row	R$ 0,00
5th row	R$ 0,00

Value	Count	Frequency (%)
r	2784	50.0%
0,00	1343	24.1%
37,56	13	0.2%
17,67	11	0.2%
7,85	9	0.2%
20,37	8	0.1%
37,62	8	0.1%
41,15	8	0.1%
37,02	8	0.1%
28,69	7	0.1%
Other values (640)	1369	24.6%

Most occurring characters

Value	Count	Frequency (%)
0	4554	21.2%
R	2784	12.9%
$	2784	12.9%
	2784	12.9%
,	2784	12.9%
1	837	3.9%
3	707	3.3%
2	706	3.3%
7	663	3.1%
5	649	3.0%
Other values (5)	2268	10.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	21520	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4554	21.2%
R	2784	12.9%
$	2784	12.9%
	2784	12.9%
,	2784	12.9%
1	837	3.9%
3	707	3.3%
2	706	3.3%
7	663	3.1%
5	649	3.0%
Other values (5)	2268	10.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	21520	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4554	21.2%
R	2784	12.9%
$	2784	12.9%
	2784	12.9%
,	2784	12.9%
1	837	3.9%
3	707	3.3%
2	706	3.3%
7	663	3.1%
5	649	3.0%
Other values (5)	2268	10.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	21520	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4554	21.2%
R	2784	12.9%
$	2784	12.9%
	2784	12.9%
,	2784	12.9%
1	837	3.9%
3	707	3.3%
2	706	3.3%
7	663	3.1%
5	649	3.0%
Other values (5)	2268	10.5%

Join_WhatsApp
Real number (ℝ)

High correlation Zeros

Distinct	193
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6872776

Minimum	0
Maximum	439
Zeros	7237
Zeros (%)	80.5%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	11
Maximum	439
Range	439
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	27.27844
Coefficient of variation (CV)	5.8196767
Kurtosis	85.601987
Mean	4.6872776
Median Absolute Deviation (MAD)	0
Skewness	8.6034403
Sum	42148
Variance	744.11329
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7237	80.5%
1	702	7.8%
2	194	2.2%
3	113	1.3%
4	80	0.9%
5	59	0.7%
6	49	0.5%
7	33	0.4%
8	31	0.3%
12	26	0.3%
Other values (183)	468	5.2%

Value	Count	Frequency (%)
0	7237	80.5%
1	702	7.8%
2	194	2.2%
3	113	1.3%
4	80	0.9%
5	59	0.7%
6	49	0.5%
7	33	0.4%
8	31	0.3%
9	18	0.2%

Value	Count	Frequency (%)
439	1	< 0.1%
432	1	< 0.1%
384	1	< 0.1%
376	1	< 0.1%
363	1	< 0.1%
360	1	< 0.1%
358	1	< 0.1%
342	1	< 0.1%
335	2	< 0.1%
332	1	< 0.1%

Leads
Real number (ℝ)

High correlation Zeros

Distinct	216
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.3801157

Minimum	0
Maximum	515
Zeros	7331
Zeros (%)	81.5%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	8
Maximum	515
Range	515
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	32.810424
Coefficient of variation (CV)	6.0984608
Kurtosis	85.908026
Mean	5.3801157
Median Absolute Deviation (MAD)	0
Skewness	8.6599959
Sum	48378
Variance	1076.5239
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7331	81.5%
1	681	7.6%
2	215	2.4%
3	107	1.2%
4	66	0.7%
5	59	0.7%
6	38	0.4%
7	28	0.3%
8	27	0.3%
9	19	0.2%
Other values (206)	421	4.7%

Value	Count	Frequency (%)
0	7331	81.5%
1	681	7.6%
2	215	2.4%
3	107	1.2%
4	66	0.7%
5	59	0.7%
6	38	0.4%
7	28	0.3%
8	27	0.3%
9	19	0.2%

Value	Count	Frequency (%)
515	1	< 0.1%
514	1	< 0.1%
461	1	< 0.1%
447	1	< 0.1%
438	1	< 0.1%
437	1	< 0.1%
432	1	< 0.1%
413	1	< 0.1%
398	1	< 0.1%
393	1	< 0.1%

Vendas
Real number (ℝ)

High correlation Zeros

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.076623665

Minimum	0
Maximum	23
Zeros	8568
Zeros (%)	95.3%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	23
Range	23
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.54781457
Coefficient of variation (CV)	7.1494174
Kurtosis	586.64233
Mean	0.076623665
Median Absolute Deviation (MAD)	0
Skewness	19.605462
Sum	689
Variance	0.3001008
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	8568	95.3%
1	323	3.6%
2	56	0.6%
3	17	0.2%
4	9	0.1%
5	6	0.1%
7	3	< 0.1%
6	2	< 0.1%
16	2	< 0.1%
10	2	< 0.1%
Other values (3)	4	< 0.1%

Value	Count	Frequency (%)
0	8568	95.3%
1	323	3.6%
2	56	0.6%
3	17	0.2%
4	9	0.1%
5	6	0.1%
6	2	< 0.1%
7	3	< 0.1%
8	2	< 0.1%
10	2	< 0.1%

Value	Count	Frequency (%)
23	1	< 0.1%
16	2	< 0.1%
13	1	< 0.1%
10	2	< 0.1%
8	2	< 0.1%
7	3	< 0.1%
6	2	< 0.1%
5	6	0.1%
4	9	0.1%
3	17	0.2%

Receita
Real number (ℝ)

High correlation Zeros

Distinct	146
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.4772239

Minimum	0
Maximum	998
Zeros	8568
Zeros (%)	95.3%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	998
Range	998
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	75.196052
Coefficient of variation (CV)	10.056681
Kurtosis	144.74835
Mean	7.4772239
Median Absolute Deviation (MAD)	0
Skewness	11.813897
Sum	67235.197
Variance	5654.4463
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8568	95.3%
2.4	38	0.4%
1.497	31	0.3%
2	29	0.3%
997	28	0.3%
2.988	15	0.2%
125	12	0.1%
1.69	12	0.1%
1.79	12	0.1%
1.99	11	0.1%
Other values (136)	236	2.6%

Value	Count	Frequency (%)
0	8568	95.3%
1	1	< 0.1%
1.056	1	< 0.1%
1.097	1	< 0.1%
1.102	2	< 0.1%
1.165	1	< 0.1%
1.173	3	< 0.1%
1.174	1	< 0.1%
1.197	1	< 0.1%
1.2	1	< 0.1%

Value	Count	Frequency (%)
998	7	0.1%
997	28	0.3%
993	2	< 0.1%
897	3	< 0.1%
896	2	< 0.1%
886	1	< 0.1%
799	2	< 0.1%
760	1	< 0.1%
738	2	< 0.1%
729	1	< 0.1%

Leads Tráfego Pago
Real number (ℝ)

High correlation Missing Zeros

Distinct	164
Distinct (%)	16.1%
Missing	7972
Missing (%)	88.7%
Infinite	0
Infinite (%)	0.0%
Mean	36.232353

Minimum	0
Maximum	515
Zeros	703
Zeros (%)	7.8%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	263.25
Maximum	515
Range	515
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	87.982188
Coefficient of variation (CV)	2.428277
Kurtosis	7.2781792
Mean	36.232353
Median Absolute Deviation (MAD)	0
Skewness	2.7389116
Sum	36957
Variance	7740.8655
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	703	7.8%
1	67	0.7%
2	29	0.3%
3	7	0.1%
4	5	0.1%
129	4	< 0.1%
127	4	< 0.1%
117	3	< 0.1%
145	3	< 0.1%
38	3	< 0.1%
Other values (154)	192	2.1%
(Missing)	7972	88.7%

Value	Count	Frequency (%)
0	703	7.8%
1	67	0.7%
2	29	0.3%
3	7	0.1%
4	5	0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
12	3	< 0.1%

Value	Count	Frequency (%)
515	1	< 0.1%
514	1	< 0.1%
461	1	< 0.1%
447	1	< 0.1%
438	1	< 0.1%
437	1	< 0.1%
432	1	< 0.1%
413	1	< 0.1%
398	1	< 0.1%
393	1	< 0.1%

Rank
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	439.2 KiB

-	8992

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8992
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-
2nd row	-
3rd row	-
4th row	-
5th row	-

Common Values

Value	Count	Frequency (%)
-	8992	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	8992	100.0%

Most occurring characters

Value	Count	Frequency (%)
-	8992	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8992	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	8992	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8992	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	8992	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8992	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	8992	100.0%

Interactions

Correlations

	Ano/Mes	Canal	Categoria	Fase	Join_WhatsApp	Leads	Leads Tráfego Pago	Objetivo	Organizador	Receita	Sessions	Total users	Vendas
Ano/Mes	1.000	0.100	0.133	0.808	0.046	0.048	0.175	0.115	0.877	0.071	0.042	0.044	0.015
Canal	0.100	1.000	0.999	0.104	0.138	0.138	0.217	0.455	0.100	0.063	0.134	0.134	0.023
Categoria	0.133	0.999	1.000	0.135	0.160	0.160	1.000	0.401	0.100	0.051	0.128	0.129	0.000
Fase	0.808	0.104	0.135	1.000	0.090	0.093	0.308	0.107	0.843	0.098	0.079	0.083	0.086
Join_WhatsApp	0.046	0.138	0.160	0.090	1.000	0.866	0.951	0.386	-0.001	0.060	0.442	0.449	0.061
Leads	0.048	0.138	0.160	0.093	0.866	1.000	1.000	0.386	0.048	0.048	0.425	0.435	0.049
Leads Tráfego Pago	0.175	0.217	1.000	0.308	0.951	1.000	1.000	0.361	0.135	-0.034	0.624	0.633	-0.035
Objetivo	0.115	0.455	0.401	0.107	0.386	0.386	0.361	1.000	0.113	0.000	0.310	0.313	0.000
Organizador	0.877	0.100	0.100	0.843	-0.001	0.048	0.135	0.113	1.000	-0.034	0.087	0.095	-0.034
Receita	0.071	0.063	0.051	0.098	0.060	0.048	-0.034	0.000	-0.034	1.000	0.207	0.204	0.999
Sessions	0.042	0.134	0.128	0.079	0.442	0.425	0.624	0.310	0.087	0.207	1.000	0.970	0.210
Total users	0.044	0.134	0.129	0.083	0.449	0.435	0.633	0.313	0.095	0.204	0.970	1.000	0.206
Vendas	0.015	0.023	0.000	0.086	0.061	0.049	-0.035	0.000	-0.034	0.999	0.210	0.206	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Organizador	Ano/Mes	Concat2	Categoria	Canal	Concat	Semana	Fase	Objetivo	Date	Session source	Session medium	Sessions	Total users	Investimento	Leads Tráfego Pago	Rank
0	1	2024 \| Janeiro	Tráfego Direto45307	Tráfego Orgânico	Tráfego Direto	(direct)(none)	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-16	(direct)	(none)	2	2	NaN	NaN	-
1	2	2024 \| Janeiro	Tráfego Direto45308	Tráfego Orgânico	Tráfego Direto	(direct)(none)	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	(direct)	(none)	41	26	NaN	NaN	-
2	3	2024 \| Janeiro	Meta Ads45308	Tráfego Pago	Meta Ads	facebooklinktext	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	facebook	linktext	28	27	R$ 31,83	0.0	-
3	4	2024 \| Janeiro	Referral45308	Tráfego Orgânico	Referral	my.orbitpages.comreferral	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	my.orbitpages.com	referral	4	2	NaN	NaN	-
4	5	2024 \| Janeiro	Meta Ads45308	Tráfego Pago	Meta Ads	facebookFacebook_Right_Column	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	facebook	Facebook_Right_Column	3	3	R$ 31,83	0.0	-
5	6	2024 \| Janeiro	Referral45308	Tráfego Orgânico	Referral	facebook.comreferral	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	facebook.com	referral	3	3	NaN	NaN	-
6	7	2024 \| Janeiro	Meta Ads45308	Tráfego Pago	Meta Ads	facebook{{placement}}	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	facebook	{{placement}}	2	2	R$ 31,83	0.0	-
7	8	2024 \| Janeiro	Referral45308	Tráfego Orgânico	Referral	(not set)(not set)	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	(not set)	(not set)	1	1	NaN	NaN	-
8	9	2024 \| Janeiro	Referral45308	Tráfego Orgânico	Referral	adsmanager.facebook.comreferral	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	adsmanager.facebook.com	referral	1	1	NaN	NaN	-
9	10	2024 \| Janeiro	Referral45308	Tráfego Orgânico	Referral	business.facebook.comreferral	2024 \| 15/01 - 21/01	Ongoing	-	2024-01-17	business.facebook.com	referral	1	1	NaN	NaN	-

	Organizador	Ano/Mes	Concat2	Categoria	Canal	Concat	Semana	Fase	Objetivo	Date	Session source	Session medium	Sessions	Total users	Investimento	Join_WhatsApp	Leads	Leads Tráfego Pago	Rank
8982	8983	2025 \| Março	Youtube45732	Social Orgânico	Youtube	youtube.comreferral	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	youtube.com	referral	9	7	NaN	0	1	NaN	-
8983	8984	2025 \| Março	WhatsApp45732	Social Orgânico	WhatsApp	whatsappgrupos-descricao	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	whatsapp	grupos-descricao	3	2	NaN	0	0	NaN	-
8984	8985	2025 \| Março	Referral45732	Tráfego Orgânico	Referral	jornadadedados.alpaclass.comreferral	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	jornadadedados.alpaclass.com	referral	2	1	NaN	1	0	NaN	-
8985	8986	2025 \| Março	Referral45732	Tráfego Orgânico	Referral	search.brave.comreferral	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	search.brave.com	referral	2	2	NaN	0	0	NaN	-
8986	8987	2025 \| Março	WhatsApp45732	Social Orgânico	WhatsApp	whatsappdirect	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	whatsapp	direct	2	2	NaN	0	0	NaN	-
8987	8988	2025 \| Março	Youtube45732	Social Orgânico	Youtube	youtubeorganic	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	youtube	organic	2	2	NaN	0	0	NaN	-
8988	8989	2025 \| Março	SEO45732	Tráfego Orgânico	SEO	bingorganic	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	bing	organic	1	1	NaN	0	0	NaN	-
8989	8990	2025 \| Março	Referral45732	Tráfego Orgânico	Referral	github.comreferral	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	github.com	referral	1	1	NaN	0	0	NaN	-
8990	8991	2025 \| Março	Instagram Orgânico45732	Social Orgânico	Instagram Orgânico	l.instagram.comreferral	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	l.instagram.com	referral	1	1	R$ 0,00	0	0	NaN	-
8991	8992	2025 \| Março	Referral45732	Tráfego Orgânico	Referral	redrex.techreferral	2025 \| 10/03 - 16/03	14º Lançamento \| Leads	-	2025-03-16	redrex.tech	referral	1	1	NaN	0	0	NaN	-

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block